Community Bankers Stock Market Value
| CTYP Stock | USD 4.90 0.11 2.30% |
| Symbol | Community |
Community Bankers 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Community Bankers' pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Community Bankers.
| 06/04/2024 |
| 12/01/2024 |
If you would invest 0.00 in Community Bankers on June 4, 2024 and sell it all today you would earn a total of 0.00 from holding Community Bankers or generate 0.0% return on investment in Community Bankers over 180 days. Community Bankers is related to or competes with Piraeus Bank, Turkiye Garanti, and Uwharrie Capital. Community Bankers Corporation operates as a bank holding company for Marion Center Bank, which provides personal and bus... More
Community Bankers Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Community Bankers' pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Community Bankers upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.84 | |||
| Information Ratio | 0.0919 | |||
| Maximum Drawdown | 19.19 | |||
| Value At Risk | (0.25) | |||
| Potential Upside | 2.3 |
Community Bankers Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Community Bankers' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Community Bankers' standard deviation. In reality, there are many statistical measures that can use Community Bankers historical prices to predict the future Community Bankers' volatility.| Risk Adjusted Performance | 0.1284 | |||
| Jensen Alpha | 0.399 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0485 | |||
| Treynor Ratio | (0.47) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Community Bankers' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Community Bankers Backtested Returns
Currently, Community Bankers is somewhat reliable. Community Bankers secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had a 0.11% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Community Bankers, which you can use to evaluate the volatility of the firm. Please confirm Community Bankers' Risk Adjusted Performance of 0.1284, mean deviation of 0.9019, and Downside Deviation of 3.84 to double-check if the risk estimate we provide is consistent with the expected return of 0.17%. Community Bankers has a performance score of 8 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.67, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Community Bankers are expected to decrease at a much lower rate. During the bear market, Community Bankers is likely to outperform the market. Community Bankers right now shows a risk of 1.58%. Please confirm Community Bankers treynor ratio, as well as the relationship between the expected short fall and day typical price , to decide if Community Bankers will be following its price patterns.
Auto-correlation | -0.77 |
Almost perfect reverse predictability
Community Bankers has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Community Bankers time series from 4th of June 2024 to 2nd of September 2024 and 2nd of September 2024 to 1st of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Community Bankers price movement. The serial correlation of -0.77 indicates that around 77.0% of current Community Bankers price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.77 | |
| Spearman Rank Test | -0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Community Bankers lagged returns against current returns
Autocorrelation, which is Community Bankers pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Community Bankers' pink sheet expected returns. We can calculate the autocorrelation of Community Bankers returns to help us make a trade decision. For example, suppose you find that Community Bankers has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Community Bankers regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Community Bankers pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Community Bankers pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Community Bankers pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Community Bankers Lagged Returns
When evaluating Community Bankers' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Community Bankers pink sheet have on its future price. Community Bankers autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Community Bankers autocorrelation shows the relationship between Community Bankers pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Community Bankers.
Regressed Prices |
| Timeline |
Pair Trading with Community Bankers
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Community Bankers position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Community Bankers will appreciate offsetting losses from the drop in the long position's value.Moving together with Community Pink Sheet
Moving against Community Pink Sheet
| 0.77 | BBAS3 | Banco do Brasil | PairCorr |
| 0.56 | BNPQY | BNP Paribas SA | PairCorr |
| 0.46 | BBDC4 | Banco Bradesco SA | PairCorr |
| 0.45 | CVI | CVR Energy | PairCorr |
The ability to find closely correlated positions to Community Bankers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Community Bankers when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Community Bankers - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Community Bankers to buy it.
The correlation of Community Bankers is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Community Bankers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Community Bankers moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Community Bankers can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Community Pink Sheet Analysis
When running Community Bankers' price analysis, check to measure Community Bankers' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Community Bankers is operating at the current time. Most of Community Bankers' value examination focuses on studying past and present price action to predict the probability of Community Bankers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Community Bankers' price. Additionally, you may evaluate how the addition of Community Bankers to your portfolios can decrease your overall portfolio volatility.